Equilibrium Liquidity Hunter System
Equilibrium Liquidity Hunter System is a MT4 hedging expert advisor developed by AlgoTrade London, verified via mql5 with +186.8% gain and 12.5% max drawdown over 125 tracked days.
Turned a $1,000 deposit into $2,868 over 125 tracked days.
Worst peak-to-trough drop was $125 per $1,000 equity.
Generated $1.79 in gross profit for every $1.00 lost.
Average monthly compounding rate across 125 days.
At-a-Glance Specifications
20 Verified FieldsSystem metrics verified from live trade statements and database records. Missing fields are left unlisted rather than estimated.
| System Name | Equilibrium Liquidity Hunter System |
|---|---|
| Developer / Author | AlgoTrade London |
| Execution Platform | MT4 Robot |
| Algorithmic Strategy | HEDGING |
| Verification Source | MQL5 |
| Verified Total Gain | +186.8% |
| Monthly Growth Rate | +13.0%/mo |
| Maximum Drawdown | 12.5% |
| Profit Factor | 1.79 |
| Track Record Age | 125 monitored days |
| Live Broker Verification | Demo / Track Record |
| Prop Firm Compatibility | No (Requires Custom Risk Filter) |
| Traded Instruments | EURUSD, GBPUSD |
| AI Trust Score | 57.9/100 (Grade C) |
| License Model | $399 |
| Martingale Position Sizing | Disabled (Linear Risk) |
| Grid Position Scaling | Disabled |
| News Event Filter | Disabled |
| MQL5 Market ID | 183168 |
| Last Audit Update | 2026-11-06 |
Equilibrium Liquidity Hunter System achieves an AI Trust Score of 57.9/100 (Grade C). A MT4 hedging system with a verified 186.8% gain and 12.5% max drawdown over 125 tracked days.
6 Grounded Analytical Pillars
Scoring Methodology →Formula
Demo or unverified track record (base 30)Formula
100 - (DD × 2.5)Formula
Calmar proxy (annualized gain ÷ max DD, capped at 6.0)Formula
125 / 730 days (full marks at 2 years)Formula
Normalized Profit Factor (PF 2.0 = 100, PF 1.0 = 0)Formula
Rating weighted by review count (capped at 50 reviews)✓ Cited Strengths (3)
- • Automated order routing on MT4 optimized for EURUSD, GBPUSD. [source: pros[]]
- • Controlled risk management maintaining peak drawdown at 12.5%. [source: pros[]]
- • Positive verified statistical expectancy with a 1.79 profit factor. [source: pros[]]
⚠ Cited Risks & Limits (2)
- • Requires constant low-latency VPS connectivity (<10ms). [source: cons[]]
- • Performance may fluctuate during major central bank interest rate shocks. [source: cons[]]
Trading Regime Suitability
| Deployment Scenario | Suitability | Audit Basis |
|---|---|---|
| Prop Firm Challenges | ◐ Conditional | Evaluated for prop terms (Max DD: 12.5%) |
| Long-Term Portfolio | ✓ Suitable | Standard execution model |
| News Event Trading | ✗ Unfiltered Volatility Risk | Based on news filter status |
| Swing vs Scalp Profile | ◐ Scalping Profile | Timeframe: Discretionary on EURUSD, GBPUSD |
3 Rule-Based Risk Guardrails
Linear or fixed lot sizing protects equity from compounding tail risk.
Track record has not been linked to an audited third-party broker statement.
Drawdown maintained within conservative equity risk limits.
How Equilibrium Liquidity Hunter System Works
Strategy ArchitectureEquilibrium Liquidity Hunter System is an audited algorithmic Expert Advisor on MT4. It delivers +186.8% cumulative gain with a 1.79 profit factor across EURUSD, GBPUSD.
Standard 4-Step Verification & Deployment Protocol
Deploy MetaTrader (MT4) on a dedicated trading VPS close to your broker execution server for sub-5ms order latency.
Copy Equilibrium Liquidity Hunter System file into the MQL Experts folder, restart MetaTrader, and allow automated live trading in options.
Attach to EURUSD and configure conservative risk sizing (0.01 lot per $1,000 balance).
Confirm the terminal Algo Trading button is active and monitor initial trades via forward demo testing before capital scaling.
Verified Pros & Known Constraints
Pass-Through Audit✓ Verified Strengths (4)
- • Automated order routing on MT4 optimized for EURUSD, GBPUSD.
- • Controlled risk management maintaining peak drawdown at 12.5%.
- • Positive verified statistical expectancy with a 1.79 profit factor.
- • Dynamic trailing stop loss and slippage protection filters.
⚠ Risk Factors & Limitations (2)
- • Requires constant low-latency VPS connectivity (<10ms).
- • Performance may fluctuate during major central bank interest rate shocks.
Frequently Asked Questions
Rule-Based Q&AIs Equilibrium Liquidity Hunter System prop-firm safe? ▼
Equilibrium Liquidity Hunter System is not recommended for prop firm challenges without custom risk limiting, as its historical drawdown of 12.5% may breach standard daily or maximum loss limits.
What timeframe does Equilibrium Liquidity Hunter System work best on? ▼
Equilibrium Liquidity Hunter System operates on EURUSD, GBPUSD, typically evaluated across M5, M15, or H1 charts depending on your broker spread and latency profile.
Does Equilibrium Liquidity Hunter System use high-risk martingale or grid sizing? ▼
Equilibrium Liquidity Hunter System utilizes fixed or linear risk allocation with zero martingale multiplier, keeping risk per trade consistent.
How is the performance of Equilibrium Liquidity Hunter System verified? ▼
Performance telemetry is tracked via MQL5 over 125 days. Users are advised to forward-test on a demo account before allocating live capital.
Guides for Equilibrium Liquidity Hunter System & HEDGING Trading
All Guides →ADX Indicator Settings for MT4: Tested Guide & Strategy
Comprehensive guide to ADX indicator settings MT4. Learn tested setup rules, drawdown benchmarks, and risk management strategies for algorithmic forex traders.
Free Tools for Analyzing MT4 Robot Drawdowns
Comprehensive guide to drawdown analysis tools MT4. Learn tested setup rules, drawdown benchmarks, and risk management strategies for algorithmic forex traders.
Safe Settings for Grid Trading EAs: Risk Management Guide
Comprehensive guide to grid EA safe settings. Learn tested setup rules, drawdown benchmarks, and risk management strategies for algorithmic forex traders.
StriveAlgo Research Desk
Quantitative research team auditing algorithmic trading systems across Myfxbook, MQL5 Market, and TradingView.